Job Description
We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation.
Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don’t need to claim credibility — we can show it.
We’ve also done to ourselves what we now do for clients. We’ve restructured our own company around AI — tools, policies, roles, delivery models. This isn’t a pitch. It’s a playbook we’ve already run, and we’re hiring the engineers who will run it for others.
The Opportunity
The pharmaceutical discount ecosystem is broken. Billions of dollars are lost in non-compliant discounts, manual disputes, and fragmented data. While others are just starting to explore AI, our client is building the mission-critical infrastructure that ensures drug discounts are applied correctly, so resources can flow back to patient care.
We are looking for a DevOps Engineer who doesn’t just write code but builds scalable, production-grade solutions for complex problems. You will join a team that values high-quality engineering, automated testing, and a “builders first” mindset. This isn’t about maintaining legacy systems—it’s about architecting the future of drug discount management.
Important note: You will be a key player in a high-growth environment, owning features from the initial design to cloud deployment. This is a role for an engineer who thrives on technical autonomy and wants to see their work directly impact a multi-billion dollar industry.
Your Mission (The “What”)
Your primary goal is to design and scale the platform’s core infrastructure, ensuring it can handle massive data volumes with precision and reliability.
Architecture & Strategy
- Define and evolve infrastructure and support platform architecture for key products and services.
- Drive a multi-year roadmap for reliability, security and support platform capabilities.
- Establish reference architectures and golden paths that product and data teams can adopt.
Reliability & Operations
- Lead adoption of SRE practices: SLOs/SLIs, error budgets, incident management, and post-incident reviews.
- Design and maintain observability (metrics, logs, traces, alerts, dashboards) across services and infrastructure.
- Automate runbooks and self-healing mechanisms to reduce toil and improve MTTR.
Platform & Developer Experience
- Design and evolve a self-service platform (environments, CI/CD, infra templates) that helps teams ship safely and quickly.
- Own and improve Infrastructure as Code (IaC) and GitOps workflows.
- Build reusable platform components and tools that standardize how services are built, deployed, and operated.
Security, Compliance & Data
- Partner with Security and Compliance to embed zero-trust, least privilege, and encryption into infrastructure patterns.
- Support healthcare-grade compliance (e.g., SOC 2, HIPAA, HITRUST) through infrastructure design and automation.
- Collaborate with data teams on secure, reliable data platforms and pipelines.
Cost, Efficiency & Resilience
- Lead FinOps practices: visibility into spend, cost optimization, and guardrails that balance cost and reliability.
- Design for resilience and recovery: backup/restore, DR, and regional failover strategies.
- Continuously tune performance and capacity across compute, storage, and networking.
Technical Skills
- Cloud & Platform: Deep experience with at least one major cloud provider, Azure preferred, (AWS, Azure, or GCP) at an architectural level; proven ability to design and operate highly available, secure, cloud-native systems.
- Containers & Orchestration: Hands-on experience with Kubernetes or similar, plus key ecosystem tools (ingress, service mesh, operators).
- Infrastructure as Code & Automation: Expert with IaC (Terraform, CloudFormation, Pulumi, etc.), modular design, and automation using Python, Go, or similar.
- CI/CD & Delivery: Experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, CircleCI, Azure DevOps), including progressive delivery (blue/green, canary, feature flags) and safe rollback.
- Observability & SRE: Strong understanding of SRE principles and hands-on work with observability stacks (e.g., Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, New Relic).
- Security, Compliance & Networking: Deep understanding of cloud security best practices, IAM, network segmentation, secrets management, and encryption; familiarity with frameworks like SOC 2, HIPAA, HITRUST; strong grasp of networking (VPCs, subnets, routing, load balancers, VPNs, firewalls).
- Data & Emerging Tech: Experience supporting data platforms and pipelines in the cloud and familiarity with ML/AI infrastructure impacts on architecture and cost.
Leadership & Influence
- Demonstrated ability to set technical direction and influence multiple teams without formal authority.
- Proven track record leading complex, cross-functional initiatives from design through rollout.
- Strong written and verbal communication skills; able to explain tradeoffs and decisions to both engineers and business stakeholders.
- Passion for mentoring and coaching other engineers and raising the overall technical bar.
- Comfort operating in ambiguity, making pragmatic decisions, and iterating as you learn.
What do we offer?
- Culture of teamwork, professional development, and knowledge sharing (https://www.youtube.com/user/sunscraperscom)
- Flexible working hours and remote work possibility
- Multisport card
- Private medical care
- Culture of good feedback: code reviews, evaluation meetings, mentoring.
- Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site
